1. Here is Jimmy's total value schedule for mangoes. 4 54 5 65 8 92 TV...
4. The following is a total value schedule for coconuts for George and Ringo. 4 5 6 7 8 9 10 11 56 60 63 65 66 TVG 11 21 30 38 45 51 TVR 15 29 42 54 65 75 84 2 99 here are 10 coconuts to divide between George and Ringo, what is the efficient allocation?
4. Here is Bender's total value schedule for cigars/day. Q TV 1 10 2 18 3 24 4 28 5 30 6 31 7 31 a. Derive a demand curve for cigars for Bender. (I'l get you started) P 246 810 12 b. If the price of cigars is S8, how many does Bender buy, what is his total expenditure and consumer surplus? c. If Bender had the opportunity to join a cigar-of-the-month club which allowed him to buy cigars...
1)Jimmy can catch 12 fish in a day or pick 18 coconuts. Robert can catch 8 fish in a day or pick 4 coconuts. a. Who has a comparative advantage in fish? b. If they want to get 10 fish between them, how many coconuts can they get? 2) Let the following be a production function for a fishery where L is number of fishermen and TP is total number of fish caught. The price of a fish is $5...
Time Period t Daily Sales 1 59 2 56 3 92 4 78 5 63 6 75 7 81 8 65 9 99 10 86 11 72 12 89 13 107 14 104 15 93 16 106 17 104 18 124 19 110 20 106 Given the Data Above for the first 20 days Daily Sales of a new restaurant, use a Regression Tool like DATA ANALYSIS in Excel and find each of the following: Slope of Regression Equation =...
D Question 7 1 pts Use the following graph that shows the marginal cost (MC) curve, the Average Variable Cost (AVC) curve, and the Average Total Cost (ATC) curve. What is the variable cost when the quantity (Q) being produced is 6? P MC ATC /AVC $15 $11 $8 Q O $66 $8 O $15 $11 Question 8 1 pts Use the following graph that shows the marginal cost (MC) curve, the Average Variable Cost (AVC) curve, and the Average...
Part S: Compate fer each set of fractions 2 4 6 1 8+12- 2+7- 3 5 7 10-5-1 4 2 3 1 9 3 10 5- 7 2 3 3 5 3- 8 5- Part 6: Add and subtract the signed numbers. 8+18-(-3) -5-(-17) 42+ (-4) -12-(+26) 3+(-29)+ (-11) 0-(-16) +7 15-4+(-18) -54 +34 8+((41-(-17) -17-(-3+-1) 5-(16+-2) -33+(-5-6) Part 7: Multiply and divide the signed numbers (-4X-5)(20) (-2)(-7)-4) 13(-3)X2) 12+-3 -26/-13 (3(4X-1) -35+5 -84/-2 (11-3)3 6/3-2 (4 8)-1 (-30/10) -7
Using simple regression, determine whether test scores are significantly related to sales performance. Use significance level of 0.05%. Clearly interpret the slope (beta coefficient) and the adjusted R squared value you obtained. Using multiple regression, determine whether test scores and number of months are significantly related to sales performance. Use significance level of 0.05%. Clearly interpret the slopes (beta coefficients) and the adjusted R squared value you obtained. E ៥ដង А B c D 1 DATA SET FOR SALESFORCE PROBLEM...
The ExceptionLab class provided: – Creates an array of 100 elements and fills it with random numbers from 1 to 100. – It asks the user for an index value between 0 and 99. – Prints the element at that position. – If a number > 99 is entered by the user, the class will abort with an ArrayIndexOutOfBoundsException • Modify the ExceptionLab: – Add a try-catch clause which intercepts the ArrayIndexOutOfBounds and prints the message: Index value cannot be...
Variable Variable Define sex gender tv Hours of TV watched per week computer Hours spent on computer per week sleep Average number of hours sleep per night alcohol Average number of alcoholic drinks per week exercise Average number of hours exercise per week gpa Grade point average max 5 faculty faculty of study health Health Status rating No. Respondents sex tv computer sleep alcohol exercise gpa faculty health 1 1 13 10 5 12 2 2 1 2 2 1...
8. Examine the following quarterly data: Quarter 11 Quarter 2 2 Quarter 3 3 15 26 20 12 34 51 Quarter 44 Quarter 1 5 Quarter 2 6 Quarter 3 7 Quarter 4 8 Quarter 1 9 Quarter 2 1 38 62 Quarter 311 Quarter 4 12 84 Calculate the seasonal indexes for each quarter. a. Quarter 1 Quarter 2 Quarter 3 Quarter 4 b. Deseasonalize the time series. Produce the trend line using the deseasonalized data. Produce seasonaly adjusted...